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On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement
In recent years, supervised approaches using deep neural networks (DNNs) have become the mainstream for speech enhancement. It has been established that DNNs generalize well to untrained noises and speakers if trained using a large number of noises and speakers. However, we find that DNNs fail to ge...
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| Publicado no: | IEEE/ACM Trans Audio Speech Lang Process |
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| Principais autores: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7971413/ https://ncbi.nlm.nih.gov/pubmed/33748327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/taslp.2020.3016487 |
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